Triple

T14714008
Position Surface form Disambiguated ID Type / Status
Subject Colle di Tora E345627 entity
Predicate hasShorelineOn P212 FINISHED
Object Lake Turano E348524 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lake Turano | Statement: [Colle di Tora, hasShorelineOn, Lake Turano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Turano
Context triple: [Colle di Tora, hasShorelineOn, Lake Turano]
  • A. Lake Turano chosen
    Lake Turano is an artificial lake in the Lazio region of central Italy, known for its scenic mountain setting and medieval villages along its shores.
  • B. Lake Koka
    Lake Koka is a man-made reservoir in Ethiopia’s central Rift Valley, created by the Koka Dam on the Awash River and used for hydroelectric power, irrigation, and fishing.
  • C. Lake Potanipo
    Lake Potanipo is a small recreational lake in Brookline, New Hampshire, known for activities like boating, fishing, and swimming.
  • D. Lake Tiorati
    Lake Tiorati is a popular recreational lake in New York’s Harriman State Park, known for swimming, boating, fishing, and surrounding hiking trails.
  • E. Donuzlav Lake
    Donuzlav Lake is a large saltwater lagoon on the western coast of Crimea, notable for its deep natural harbor and connection to the Black Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b43360481908dc73d5e6758fea6 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:29 a.m.